Predictors of Problematic Internet and mobile phone usage in adolescents

  1. López Fernández, Olatz 1
  2. Losada López, José Luis 2
  3. Honrubia Serrano, Ma. Luisa 2
  1. 1 Université Catholique de Louvain
    info

    Université Catholique de Louvain

    Louvain-la-Neuve, Bélgica

    ROR https://ror.org/02495e989

  2. 2 Universitat de Barcelona
    info

    Universitat de Barcelona

    Barcelona, España

    ROR https://ror.org/021018s57

Revista:
Aloma: revista de psicologia, ciències de l'educació i de l'esport

ISSN: 1138-3194

Año de publicación: 2015

Volumen: 33

Número: 2

Páginas: 49-58

Tipo: Artículo

DOI: 10.51698/ALOMA.2015.33.2.49-58 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Aloma: revista de psicologia, ciències de l'educació i de l'esport

Resumen

This study uses an innovative statistical strategy to test the role of certain variables as predictors of problematic Internet and mobile phone usage among adolescents in Spain and in the United Kingdom . A paperand- pencil questionnaire was used, with socio-demographics and patterns of technology usage as variables, and two tests were administered: the Problematic Internet Entertainment Use Scale for Adolescents (PIEUSA) and the Mobile Phone Problem Use Scale for Adolescents (MPPUSA). The overall sample size was 2228 high school students aged between 11 and 18 from Barcelona and London. PIEUSA and MPPUSA scores were transformed into normed scores, and both were then dichotomized according to three statistical criteria as cut-off points (i.e., median, 80th percentile, and extreme scores below the 25th percentile and above the 75th percentile) in order to establish the relationship between the variables above and the excessive use of the Internet or mobile phones, using a binary logistic regression. The results show that the best predictive model for both technologies includes socio-demographic variables as predictors of extreme scores for excessive Internet and mobile phone usage, with good sensitivity, specificity and classification accuracy, as well as a notable capacity for discrimination according to the receiveroperating characteristic curve. Implications of these findings are discussed.

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Fuente de los datos: Dialnet